Model comparison

Gemma 3 4B vs GLM-4.6V

GLM-4.6V is the stronger model overall, scoring 40.9 to 27.9 on the Noometry Index. Gemma 3 4B costs 9.0× less per token, which makes it the better buy when GLM-4.6V's lead doesn't matter for your workload.

Last verified October 10, 2026. 10 shared benchmarks.

Gemma 3 4B

Google

27.9

Rank #320 Confirmed

GLM-4.6V Z.ai (Zhipu)

40.9

Rank #133 Confirmed

Summary

They share 10 benchmarks with published results for both. Gemma 3 4B scores higher in 0 categories and GLM-4.6V in 7 categories; 7 gaps are clear of the uncertainty.
The widest gap is in knowledge, where GLM-4.6V leads 37.4 to 11.8.
Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $0.30 / $0.90 for GLM-4.6V.
Gemma 3 4B accepts more context: 131K tokens versus 128K.

Side by side

Gemma 3 4B and GLM-4.6V specifications
	Gemma 3 4B	GLM-4.6V
Provider	Google	Z.ai (Zhipu)
Noometry Index	27.9	40.9
Released	2025-03-12	2025-12-08
Weights	Open	Open
Context window	131K	128K
Max output	4K	33K
Input $ / M tokens	$0.04	$0.30
Output $ / M tokens	$0.08	$0.90
Results tracked	22	12

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Category by category

Coding GLM-4.6V leads

Gemma 3 4B: 35.3 (#214), GLM-4.6V: 40.2 (#128)

Coding benchmarks
Benchmark	Gemma 3 4B	GLM-4.6V
LMArena Coding	1230	1390

Agentic & Tool Use Not comparable

Gemma 3 4B: 20.7 (#134), GLM-4.6V: —

Agentic & Tool Use benchmarks
Benchmark	Gemma 3 4B	GLM-4.6V
Berkeley Function Calling Leaderboard	19.6%	—

Reasoning GLM-4.6V leads

Gemma 3 4B: 12.7 (#330), GLM-4.6V: 26.5 (#117)

Reasoning benchmarks
Benchmark	Gemma 3 4B	GLM-4.6V
LMArena Hard Prompts	1253	1368
Kagi LLM Benchmark	25.2%	—
Chess Puzzles	0%	—
DTBench	50.9%	—
LMCA	2.8%	—
Epoch Capabilities Index	116.02	—

Math Not comparable

Gemma 3 4B: 15.8 (#286), GLM-4.6V: —

Math benchmarks
Benchmark	Gemma 3 4B	GLM-4.6V
OTIS Mock AIME 2024-2025	7.5%	—
LMArena Math	1239	—

Knowledge GLM-4.6V leads

Gemma 3 4B: 11.8 (#294), GLM-4.6V: 37.4 (#148)

Knowledge benchmarks
Benchmark	Gemma 3 4B	GLM-4.6V
LMArena Expert	1223	1372
GPQA Diamond	23.2%	—
Vectara Hallucination Rate	6.4%	—

Multimodal Not comparable

Gemma 3 4B: —, GLM-4.6V: 34.2 (#83)

Multimodal benchmarks
Benchmark	Gemma 3 4B	GLM-4.6V
LMArena Vision	—	1164

Multilingual GLM-4.6V leads

Gemma 3 4B: 42.7 (#189), GLM-4.6V: 48.8 (#135)

Multilingual benchmarks
Benchmark	Gemma 3 4B	GLM-4.6V
LMArena Non-English	1273	1359
LMArena Russian	1294	1341
LMArena Chinese	—	1426
LMArena German	1281	—

Instruction Following GLM-4.6V leads

Gemma 3 4B: 65.4 (#219), GLM-4.6V: 71.6 (#145)

Instruction Following benchmarks
Benchmark	Gemma 3 4B	GLM-4.6V
LMArena Instruction Following	1239	1351

Long Context GLM-4.6V leads

Gemma 3 4B: 38.6 (#189), GLM-4.6V: 41.3 (#138)

Long Context benchmarks
Benchmark	Gemma 3 4B	GLM-4.6V
LMArena Longer Query	1274	1358

Writing & Preference GLM-4.6V leads

Gemma 3 4B: 42.2 (#234), GLM-4.6V: 56.8 (#132)

Writing & Preference benchmarks
Benchmark	Gemma 3 4B	GLM-4.6V
LMArena Text	1291	1377
LMArena Creative Writing	1270	1347
LMArena Multi-Turn	1255	1359
EQ-Bench Creative Writing	1068	—

Frequently asked questions

Is Gemma 3 4B better than GLM-4.6V?

Which is cheaper, Gemma 3 4B or GLM-4.6V?

Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; GLM-4.6V lists at $0.30 and $0.90.

Is Gemma 3 4B or GLM-4.6V better for coding?

GLM-4.6V scores higher on coding benchmarks: 40.2 versus 35.3 in the Noometry coding category.

Which has the bigger context window?

Gemma 3 4B does, with 131K tokens against 128K.

How many benchmarks do Gemma 3 4B and GLM-4.6V share?

10 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and GLM-4.6V has 12.